Power Converters and AC Electrical Drives with Linear Neural Networks by Maurizio Cirrincione Marcello Pucci and Gianpaolo Vitale PDF

Power Converters and AC Electrical Drives with Linear Neural Networks by Maurizio Cirrincione Marcello Pucci and Gianpaolo Vitale PDF

Power Converters and AC Electrical Drives with Linear Neural Networks

Power electronics and electrical drives are heavily characterized by a strong interdisciplinarity.

A thorough knowledge of the field involves being proficient in

  • Electrical machines
  • Circuit theory
  • Control system theory
  • Signal processing system
  • Electronics
  • Electromagnetic fields
  • Numerical analysis
  • Solid-state physics
  • Power plants
    A recent trend for the development of these disciplines is the application of artificial intelligence (AI) tools, such as expert systems (ES), artificial neural networks (ANN), fuzzy logic systems (FLS), genetic algorithms (GA), and, more recently, multi-agent systems (MAS). These
    tools have been proven to be able to boost the performance of these systems in real-world and industrial applications thanks to features such as “learning,” “self-organization,” and “self-adaptation.”

With particular regard to ANNs for nonlinear function approximation, in power electronics and electrical drives applications, they are used for control and identification, such as the multilayer perceptron (MLP) or the radial basis function (RBF). Another kind of neuron that has also been applied recently is linear neurons (ADALINE), whose simplicity has given surprisingly good results.

On the other hand, the detailed unified mathematical treatment of space-vectors has made it possible to embed the theory of linear neural networks, resulting in improvements, both theoretical and experimental, of classical approaches in electrical drives and power electronics. This standpoint is the goal of the book: to present in a systematic way the classical theory based on space-vectors in identification, control of electrical drives and of power converters, and the improvements that can be attained when using linear neural networks.

With this outlook, this book is divided into four parts:

  • Part I deals specifically with voltage source inverters (VSI) and their control.
  • Part II deals with AC electrical drive control, with particular attention to induction and permanent magnet synchronous motor drives.
  • Part III deals with theoretical aspects of linear neural networks.
  • Part IV deals with specific applications of linear neural networks to electrical drives and power quality

Download Power Converters and AC Electrical Drives with Linear Neural Networks by Maurizio Cirrincione Marcello Pucci and Gianpaolo Vitale in free pdf format.

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